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Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI
- Source :
- Magnetic Resonance in Medicine. 86:3096-3110
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Purpose Hemodynamic alterations are indicative of cerebrovascular disease. However, the narrow and tortuous cerebrovasculature complicates image-based assessment, especially when quantifying relative pressure. Here, we present a systematic evaluation of image-based cerebrovascular relative pressure mapping, investigating the accuracy of the routinely used reduced Bernoulli (RB), the extended unsteady Bernoulli (UB), and the full-field virtual work-energy relative pressure ( ν WERP) method. Methods Patient-specific in silico models were used to generate synthetic cerebrovascular 4D Flow MRI, with RB, UB, and ν WERP performance quantified as a function of spatiotemporal sampling and image noise. Cerebrovascular relative pressures were also derived in 4D Flow MRI from healthy volunteers ( n = 8 ), acquired at two spatial resolutions (dx = 1.1 and 0.8 mm). Results The in silico analysis indicate that accurate relative pressure estimations are inherently coupled to spatial sampling: at dx = 1.0 mm high errors are reported for all methods; at dx = 0.5 mm ν WERP recovers relative pressures at a mean error of 0.02 ± 0.25 mm Hg, while errors remain higher for RB and UB (mean error of -2.18 ± 1.91 and -2.18 ± 1.87 mm Hg, respectively). The dependence on spatial sampling is also indicated in vivo, albeit with higher correlative dependence between resolutions using ν WERP (k = 0.64, R2 = 0.81 for dx = 1.1 vs. 0.8 mm) than with RB or UB (k = 0.04, R2 = 0.03, and k = 0.07, R2 = 0.07, respectively). Conclusion Image-based full-field methods such as ν WERP enable cerebrovascular relative pressure mapping; however, accuracy is directly dependent on utilized spatial resolution.
- Subjects :
- Physics
Mean squared error
Hemodynamics
Magnetic Resonance Imaging
Healthy Volunteers
Bernoulli's principle
Imaging, Three-Dimensional
Nuclear magnetic resonance
Sampling (signal processing)
Healthy volunteers
Relative pressure
Image noise
Humans
Computer Simulation
Radiology, Nuclear Medicine and imaging
Image resolution
Blood Flow Velocity
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 86
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....5807f9b92f4edef9531def09f003f094
- Full Text :
- https://doi.org/10.1002/mrm.28928